@ -60,7 +60,7 @@ def detect(
img = torch.from_numpy(img).unsqueeze(0).to(device)
if ONNX_EXPORT:
torch.onnx.export(model, img, 'weights/model.onnx', verbose=True)
return # ONNX export
return
pred = model(img)
pred = pred[pred[:, :, 4] > conf_thres] # remove boxes < threshold